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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Twitter Data Analytics

Twitter Data Analytics

Kumar, Shamanth
Morstatter, Fred
Liu, Huan

Paperback

Series: Springerbriefs in Computer Science

DatabasesGeneral Computers

ISBN10: 1461493714
ISBN13: 9781461493716
Publisher: Springer Nature
Published: Nov 12 2013
Pages: 77
Weight: 0.30
Height: 0.18 Width: 6.14 Depth: 9.21
Language: English
This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter's APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the present challenges and complexities of building visual analytic tools, and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers, practitioners, project managers, as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.

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